• DocumentCode
    526751
  • Title

    Notice of Retraction
    Convertible bond pricing based on Variance Gamma model

  • Author

    Yuxian Zheng ; Ming Lu ; Jinping Yu ; Xiaofeng Yang

  • Author_Institution
    Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China
  • Volume
    7
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    427
  • Lastpage
    431
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    In this paper, we describe the dynamic underlying asset with Variance Gamma process(VG), which is one of classical Lévy process with unnormal log distribution but skewness and kurtosis, we calculate the price of CB with Modified Multi-Tree (MMT) model, which is the combination of Multi-stage Compound Option model (MCO) and Multi-Tree model (MT). By estimating the pricing error and comparing our results with Black-Scholes approach, we can show that the new approach does provide a more accurate approximation approach for the valuation of CB.
  • Keywords
    estimation theory; gamma distribution; pricing; Black-Scholes approach; Levy process; MMT model; convertible bond pricing; kurtosis; modified multitree model; multistage compound option model; pricing error estimation; skewness; unnormal log distribution; variance gamma model; MMT model; Variance Gamma process; convertible bond;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5565114
  • Filename
    5565114